Skip to main content
padlock icon - secure page this page is secure

Automatic detection of Moroccan coastal upwelling zones using sea surface temperature images

Buy Article:

$60.00 + tax (Refund Policy)

An efficient unsupervised method is developed for automatic segmentation of the area covered by upwelling waters in the coastal ocean of Morocco using the Sea Surface Temperature (SST) satellite images. The proposed approach first uses the two popular unsupervised clustering techniques, k-means and fuzzy c-means (FCM), to provide different possible classifications to each SST image. Then several cluster validity indices are combined in order to determine the optimal number of clusters, followed by a cluster fusion scheme, which merges consecutive clusters to produce a first segmentation of upwelling area. The region-growing algorithm is then used to filter noisy residuals and to extract the final upwelling region. The performance of our algorithm is compared to a popular algorithm used to detect upwelling regions and is validated by an oceanographer over a database of 92 SST images covering each week of the years 2006 and 2007. The results show that our proposed method outperforms the latter algorithm, in terms of segmentation accuracy and computational efficiency.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Affiliations: 1: Department of Marine Fisheries, Higher Institute of Marine Fisheries (ISPM), Agadir, Morocco 2: Faculty of Science, LRIT Associated Unit to the CNRST, URAC 29, Mohammed V University, Rabat, Morocco 3: Geometry & Statistics in acquisition data team, INRIA Bordeaux Sud-Ouest, Talence, France 4: Department of Oceanography, Climate and Fisheries, Royal Centre for Remote Sensing (CRTS), Rabat, Morocco 5: Faculty of Science, LABSIV Computer Science, Ibn Zohr University, Agadir, Morocco

Publication date: April 3, 2019

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more